Mouad El

Available to hire

A Statistical-Economist Engineer specializing in Business Intelligence and Data Analytics, with a solid background in applied mathematics, statistics, and economics.

About

A Statistical-Economist Engineer specializing in Business Intelligence and Data Analytics, with a solid background in applied mathematics, statistics, and economics. Experienced in analyzing complex datasets, developing interactive dashboards, and designing data-driven reporting solutions to support business performance monitoring and strategic decision-making. Combines strong analytical capabilities with practical expertise in data visualization, statistical analysis, and machine learning to identify trends, uncover actionable insights, and translate business requirements into effective analytical solutions. Proficient in leveraging data to address business challenges and improve decision-making processes.

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Languages

  • ArabicFluent
  • FrenchFluent
  • EnglishFluent

Industry experience

  • Financial Services
  • Professional Services
  • Government

More experts in Casablanca, Morocco

Projects · 3

Moroccan Households Consumption

I analysed Moroccan household consumption using HCP's 2007 and 2014 surveys. I combined budget-share preparation, LES demand models, multilevel results and Dirichlet mixture segmentation. I produced model diagnostics, elasticity tables, K=6 household profiles and research figures using Python, GAMS and Stata outputs. This personal research project supports comparison of spending constraints and household profiles. Analysis is complete for both surveys; the interactive dashboard is pending. Historical data and model assumptions limit interpretation; microdata are not included for reproduction. https://www.twine.net/signin

  • Data Analyst
  • Data Scientist
  • Data Visualizer
SaaS Financial BI and Forecasting

I built a SaaS FP&A workflow that links customer acquisition, churn, pricing and expansion to revenue forecasts. The project includes budget-vs-actual analysis, an operating-income bridge, planning scenarios, Power BI reporting and an executive memo. Python produces report-ready data and reconciliation checks. The analysis supports discussion of cost discipline, retention and planning assumptions. This is a personal simulation of a fictional business using entirely synthetic data. Its financial results and forecasting accuracy are simulation findings, not client outcomes or guarantees. https://www.twine.net/signin

  • Data Analyst
  • Data Scientist
  • Data Visualizer
Interactive Reinsurance Portfolio Analytics

I developed Reinsight to explore reinsurance premiums, claims, reserves and technical charges through an interactive React/TypeScript frontend and FastAPI/pandas backend. It provides portfolio filters, regional and annual comparisons, cedant search and treaty/facultative detail. I implemented data transformations, KPI calculations and API integration, with documented business formulas. This is a personal project using anonymised demo identifiers and distorted amounts. It demonstrates reporting and investigation workflows; results represent no real portfolio or measured client impact. Source project: https://www.twine.net/signin

  • Data Analyst
  • Data Scientist
  • Data Visualizer

Work experience

BI analyst · CDM MarocNov 2025 – Mar 2026 · 5 mos

I contributed to business intelligence and data-driven decision-making by transforming raw data into actionable insights. My responsibilities included data collection, cleaning, analysis, and visualization, as well as developing interactive dashboards and automated reports to monitor key performance indicators, identify trends, and support strategic business decisions.

Education

Engineer · National Institute of Statistics & Applied Economics2022 – 2025

Statistics, Applied Economics & Big Data field

Testimonials · 5.0 from 1 review

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